Associate Director - AI|ML Engineering Lead
Tasks
- Apply data governance and security controls
- Architect and build large scale Python applications
- Automate testing and deployments
- Benchmark model performance
- Build data ingestion and processing pipelines
- Build distributed scalable low latency applications
- Build generative AI solutions
- Collaborate with data scientists to move models to production
- Design data lakes and storage solutions
- Develop CI/CD pipelines
- Develop and deploy deep learning models
- Develop and deploy machine learning models
- Ensure secure reproducible deployments
- Fine-tune large language models
- Implement DevOps infrastructure as code
- Implement reinforcement training
- Implement retrieval-augmented generation pipelines
- Manage container orchestration and monitoring
- Manage structured and unstructured data pipelines
- Perform prompt engineering
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Glue | AWS Lambda | Amazon CloudFront | Amazon DynamoDB | Amazon EKS | Amazon S3 | Amazon SNS | Amazon SQS | CI/CD | Cybersecurity | Data Governance | Data Lakes | Deep learning | Docker | Encryption | FastAPI | Fine Tuning | Generative AI | GitHub Actions | IAM | Jenkins | Kubernetes | LLM Fine-tuning | Langgraph | Language Models | Large Language Models | Machine Learning | Model Monitoring | MongoDB | Network Security | PostgreSQL | Prompt engineering | Python | Reinforcement Learning | Retrieval-Augmented Generation | SQL Server | Terraform
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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